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Output File for Query: <br>
disco/disco.00037.mp3 <br><br>Using Distance Function: <br>
l2
<br>kBest List (by minimum distance) for each index<table Border>
<tr>
<td>
<a href="output_disco_disco.00037.mp3/./GTZAN.ssd.arff.html">./GTZAN.ssd.arff</a>
</td>
<td>
<a href="output_disco_disco.00037.mp3/./GTZAN.rh.arff.html">./GTZAN.rh.arff</a>
</td>
<td>
<a href="output_disco_disco.00037.mp3/./GTZAN.rp.arff.html">./GTZAN.rp.arff</a>
</td>
</tr>
</table>
<br>kBest statistics across all indices' resultlists<table Border>
<tr>
<td>Minimum Distance</td><td>Maximum Distance</td><td>Average Distance</td>
</tr>
<tr>
<td>6.4075</td><td>424.6697</td><td>193.8508</td>
</tr>
</table>
<br>Merged Output List: Documents of minimal average rank across all Indices (modified output of UE2)<table Border>
<tr>
<td>Document Name</td><td>Minimum Distance</td><td>Sum of occurences <br>in kBest of each Index</td><td>Average Rank</td><td>Average Distance</td>
</tr>
<tr>
<td>disco/disco.00097.mp3</td><td>17</td><td>2</td><td>17</td><td>200.4224</td>
</tr>
<tr>
<td>disco/disco.00081.mp3</td><td>9.6667</td><td>0</td><td>9.6667</td><td>217.2696</td>
</tr>
<tr>
<td>metal/metal.00030.mp3</td><td>14.6667</td><td>0</td><td>14.6667</td><td>256.0101</td>
</tr>
<tr>
<td>disco/disco.00009.mp3</td><td>22.3333</td><td>0</td><td>22.3333</td><td>273.9303</td>
</tr>
<tr>
<td>disco/disco.00007.mp3</td><td>18.6667</td><td>0</td><td>18.6667</td><td>259.3347</td>
</tr>
<tr>
<td>metal/metal.00067.mp3</td><td>24.6667</td><td>1</td><td>24.6667</td><td>209.7811</td>
</tr>
<tr>
<td>disco/disco.00060.mp3</td><td>8</td><td>1</td><td>8</td><td>205.4252</td>
</tr>
</table>
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